Slam-based Reconstruction

SLAM-Based Reconstruction is a 3D reconstruction framework that integrates simultaneous localization and mapping (SLAM) techniques to jointly estimate camera motion and scene geometry in real time, distinguishing itself from other reconstruction methods by its emphasis on incremental, online processing and pose consistency in unknown environments.

232

Publications

11.3K

Citations

864

Authors

288

Institutions

Publications per year

2017–2026

134

Authors

864

  1. MP
    Marc Pollefeys

    ETH Zurich, Switzerland

    4 publications · 221 citations

    4

    h-index

  2. MD
    Michel Dhome

    Université Clermont Auvergne, France

    4 publications · 106 citations

    4

    h-index

  3. MK
    Michael Kaess

    Carnegie Mellon University, United States

    4 publications · 140 citations

    4

    h-index

  4. SB
    Steve Bourgeois

    Laboratoire d'Intégration des Systèmes et des Technologies, France

    4 publications · 106 citations

    4

    h-index

  5. OP
    Oscar Pizarro

    The University of Sydney, Australia

    3 publications · 286 citations

    3

    h-index

1–5 of 864